A Close Look at Deep Learning with Small Data

28 March 2020

Papers citing "A Close Look at Deep Learning with Small Data"

13 / 13 papers shown

Title
Detection of Spider Mites on Labrador Beans through Machine Learning Approaches Using Custom Datasets Violet Liu Jason Chen Ans Qureshi Mahla Nejati 11 1 0 12 Feb 2024
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces Tobia Boschi Francesca Bonin Rodrigo Ordonez-Hurtado Alessandra Pascale Jonathan Epperlein 29 4 0 11 Jan 2024
Physics-driven generative adversarial networks empower single-pixel infrared hyperspectral imaging Dong-Yin Wang Shu-Hang Bie Xi-Hao Chen Wen-Kai Yu GAN 16 0 0 22 Nov 2023
This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation Dimitrios E. Diamantis Panagiota Gatoula Anastasios Koulaouzidis D. Iakovidis MedIm 33 5 0 04 Feb 2023
Regularising disparity estimation via multi task learning with structured light reconstruction Alistair Weld João Cartucho Chi Xu Joseph Davids Stamatia Giannarou 3DV 19 4 0 19 Jan 2023
GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets Johannes Gasteiger Muhammed Shuaibi Anuroop Sriram Stephan Günnemann Zachary W. Ulissi C. L. Zitnick Abhishek Das AI4TS MLAU 31 65 0 06 Apr 2022
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization Guilherme C. Oliveira Gustavo de Rosa Daniel Carlos Guimarães Pedronette João Paulo Papa Himeesh Kumar L. A. Passos Dinesh Kumar OOD MedIm 19 9 0 25 Mar 2022
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets Lorenzo Brigato Luca Iocchi UQCV 20 0 0 29 Nov 2021
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge Björn Barz Lorenzo Brigato Luca Iocchi Joachim Denzler VLM 19 2 0 28 Sep 2021
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler 30 16 0 30 Aug 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 24 1 0 05 Jul 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 280 10,613 0 19 Feb 2017
Frankenstein: Learning Deep Face Representations using Small Data Guosheng Hu Xiaojiang Peng Yongxin Yang Timothy M. Hospedales Jakob Verbeek CVBM 66 122 0 21 Mar 2016